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Methodology
← Optimization & Theory
Machine Learning
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Optimization & Theory
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Learning Theory
5312 directly classified papers
Papers per year
2001: 1
2002: 16
2003: 16
2004: 15
2005: 17
2006: 30
2007: 32
2008: 32
2009: 34
2010: 66
2011: 76
2012: 74
2013: 94
2014: 115
2015: 123
2016: 128
2017: 185
2018: 219
2019: 390
2020: 466
2021: 640
2022: 664
2023: 799
2024: 688
2025: 307
2026: 85
Papers
Granular Concept Circuits: Toward a Fine-Grained Circuit Discovery for Concept Representations
ICCV 2025
High-Dimensional L2-Boosting: Rate of Convergence
JMLR 2025
A Unified Interpretation of Training-Time Out-of-Distribution Detection
ICCV 2025
The Inter-Intra Modal Measure: A Predictive Lens on Fine-Tuning Outcomes in Vision-Language Models
ICCV 2025
Runtime Analysis for Multi-Objective Evolutionary Algorithms in Unbounded Integer Spaces
AAAI 2025
Neural Networks Perform Sufficient Dimension Reduction
AAAI 2025
Speeding Up the NSGA-II with a Simple Tie-Breaking Rule
AAAI 2025
On the Expressiveness and Length Generalization of Selective State Space Models on Regular Languages
AAAI 2025
Assessing the Creativity of LLMs in Proposing Novel Solutions to Mathematical Problems
AAAI 2025
Set-Valued Sensitivity Analysis of Deep Neural Networks
AAAI 2025
Logarithmic Regret for Linear Markov Decision Processes with Adversarial Corruptions
AAAI 2025
LibraGrad: Balancing Gradient Flow for Universally Better Vision Transformer Attributions
CVPR 2025
OVO-Bench: How Far is Your Video-LLMs from Real-World Online Video Understanding?
CVPR 2025
Data Distributional Properties As Inductive Bias for Systematic Generalization
CVPR 2025
Contamination Budget: Trade-offs Between Breadth, Depth and Difficulty
IJCAI 2025
Probing the Mid-level Vision Capabilities of Self-Supervised Learning
CVPR 2025
Do ImageNet-trained Models Learn Shortcuts? The Impact of Frequency Shortcuts on Generalization
CVPR 2025
Which Word Orders Facilitate Length Generalization in LMs? An Investigation with GCG-Based Artificial Languages
EMNLP 2025
Theory-Inspired Deep Multi-View Multi-Label Learning with Incomplete Views and Noisy Labels
CVPR 2025
SELF-[IN]CORRECT: LLMs Struggle with Discriminating Self-Generated Responses
AAAI 2025
Training on the Benchmark Is Not All You Need
AAAI 2025
Evaluating Mathematical Reasoning Beyond Accuracy
AAAI 2025
Truth Behind the Scene: Designing Evaluations Benchmarks to Assess LLMs’ Task-Specific Understanding over Test-Taking Strategies
AAAI 2025
Generalization of Graph Neural Networks Is Robust to Model Mismatch
AAAI 2025
Trojsten Benchmark: Evaluating LLM Problem-Solving in Slovak STEM Competition Problems
EMNLP 2025
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